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Agentic AI Systems for Specimen Interaction and Camera-Based Observation
Off-the-shelf local vision language models can pick out and count specimen morphology and spot damage with minimal guidance.
Jack Hollister ↗
From Collection Drawers to AI - A One-Week Recipe
A useful AI-ready digitisation setup can be built in a week from recycled materials and borrowed cameras.
Arianna Salili-James ↗
Next-generation digitization: integrating spectral reflectance into the online mobilization of herbaria
Spectral reflectance can be captured at scale during herbarium digitisation and supports accurate species identification from leaves alone.
Matthew Austin ↗
X-raying wild plant seeds: preparing images for future AI-driven global biodiversity research
Adding scale and linking legacy seed X-rays to collection records turns an inaccessible archive into AI-ready research data.
Robert Turner ↗
The More Extended, The More Open: Semantic Integration of 3D Natural Heritage Data into Biodiversity CMS
Treating 3D specimen models as entry points in a knowledge graph that includes heritage context and digitisation paradata makes them reusable knowledge assets.
Yeeun Lee ↗
A Network That Is Social: A Community-Based Model and Plan for Sustaining MorphoSource, a Scholarly 3D Data Repository
MorphoSource will sustain open access to 3D data by charging museums, journals, societies and depositors, never downloaders, as NSF funding ends.
Julie Winchester ↗